seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
10441407969 | import xlwt
import csv
import requests
import pprint
class GitClient(object):
def __init__(self):
self.base_url = 'https://api.github.com/'
self.userName = ''
self.password = ''
self.autorization = False
self.notAut = ''
self.exporter = []
self.toWrite = {}
... | Delight116/003-004-be-addo-Cmd_and_Html_GitClient | GitClient.py | GitClient.py | py | 6,608 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numb... |
27275697128 | """Very simple example using a pair of Lennard-Jones particles.
This script has several pieces to pay attention to:
- Importing the pieces from wepy to run a WExplore simulation.
- Definition of a distance metric for this system and process.
- Definition of the components used in the simulation: resampler,
boundary... | ADicksonLab/wepy | info/examples/Lennard_Jones_Pair/source/we.py | we.py | py | 7,753 | python | en | code | 44 | github-code | 36 | [
{
"api_name": "simtk.unit.kelvin",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "simtk.unit",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "simtk.unit.picosecond",
"line_number": 67,
"usage_type": "attribute"
},
{
"api_name": "simtk.un... |
40461953299 | import os
import gspread
from oauth2client.service_account import ServiceAccountCredentials as SAC
from linebot import LineBotApi, WebhookParser
from linebot.models import MessageEvent, TextMessage, ImageSendMessage, URITemplateAction, TextSendMessage, TemplateSendMessage, ButtonsTemplate, MessageTemplateAction, Carous... | JasperLin0118/linebot | utils.py | utils.py | py | 15,459 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "linebot.LineBotApi",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "linebot.models.TextSendMessage",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "linebot.LineBotApi",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "... |
9194727466 | import unittest
import torch
import lightly
class TestNestedImports(unittest.TestCase):
def test_nested_imports(self):
# active learning
lightly.active_learning.agents.agent.ActiveLearningAgent
lightly.active_learning.agents.ActiveLearningAgent
lightly.active_learning.config.samp... | tibe97/thesis-self-supervised-learning | tests/imports/test_nested_imports.py | test_nested_imports.py | py | 3,548 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "lightly.active_learning",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "lightly.active_learning",
"line_number": 12,
"usage_type": "attribute"
},
{
"a... |
74328503143 | import logging
import pandas as pd
from openfisca_ceq.tools.data import config_parser, year_by_country
from openfisca_ceq.tools.data_ceq_correspondence import (
ceq_input_by_harmonized_variable,
ceq_intermediate_by_harmonized_variable,
data_by_model_weight_variable,
model_by_data_id_variable,
mo... | openfisca/openfisca-ceq | openfisca_ceq/tools/data/income_loader.py | income_loader.py | py | 5,243 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "openfisca_ceq.tools.data.year_by_country",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "openfisca_ceq.tools.data.config_parser.get",
"line_number": 43,
"usage_type": ... |
18252810201 | from functools import lru_cache
from typing import List
class Solution:
def maxCoins(self, nums: List[int]) -> int:
@lru_cache(None)
def dfs(l, r):
if l > r:
return 0
# if (l, r) in dic:
# return dic[(l, r)]
# dic[(l, r)] = 0
... | hujienan/Jet-Algorithm | leetcode/312. Burst Balloons/index.py | index.py | py | 797 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "functools.lru_cache",
"line_number": 7,
"usage_type": "call"
}
] |
34181109892 | #tempurature range is 4-95 degrees C
#we use a GEN2 tempurature module
#tolerance on read about 5 degrees for heating (at least with IR thermometer)
# can hold steady at a tempurature really well though would need to test more at differing tempurature
#idling tempurature 55 C can hold within .5 C of tem... | MyersResearchGroup/OpenTrons_OT2_Protocols | temperature_module/tempurature_module.py | tempurature_module.py | py | 1,122 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "opentrons.protocol_api.ProtocolContext",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "opentrons.protocol_api",
"line_number": 22,
"usage_type": "name"
}
] |
14551270733 | from io import StringIO
from itertools import chain
from typing import Any, Dict, List, Union
import simplejson as json
from jubeatools import song as jbt
from jubeatools.formats.filetypes import SongFile
from jubeatools.utils import lcm
from ..tools import make_memon_dumper
from . import schema
def _long_note_tai... | Stepland/jubeatools | jubeatools/formats/memon/v0/dump.py | dump.py | py | 8,590 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "jubeatools.song.LongNote",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "jubeatools.song",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "jubeatools.song.Song",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name"... |
35609459703 | import streamlit as st
import cv2
import time
import sys
import os
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
from streamlit_lottie import st_lottie
# Initialize the parameters
confThreshold = 0.2 #Confidence threshold
nmsThreshold = 0.4 #Non-maximum suppression threshold
inpWidth = 4... | nlkkumar/vehicle-class-yolov4 | nlk-vehi-class-classification.py | nlk-vehi-class-classification.py | py | 7,582 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "streamlit.set_option",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "streamlit.beta_columns",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "streamlit.text",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.dnn.re... |
30452253568 | import pandas as pd
import requests
from bs4 import BeautifulSoup
u = 'https://www.amazon.in/OnePlus-Nord-Gray-128GB-Storage/product-reviews/B08695ZSP6/ref=cm_cr_arp_d_paging_btm_next_2?ie=UTF8&reviewerType=all_reviews&pageNumber='
def amazon(link,Number_of_pages):
r={}
allreview1 = pd.DataFrame(r)... | SHRIKAR5/Amazon-review-webscraping | amazon_review-webscraping.py | amazon_review-webscraping.py | py | 2,060 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 25,
"usage_type": "call"
}
] |
33521363177 | import os, re, importlib.util
import LogManager
from Module import Module
from ModuleThreadHandler import ModuleThreadHandler, ThreadTask
class ModuleRunner:
def __init__(self, parent):
self.parent = parent
self.logger = LogManager.create_logger('MODULES')
self.closing = False
self.thread_handler ... | gregormaclaine/AutoHome | ModuleRunner.py | ModuleRunner.py | py | 2,346 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "LogManager.create_logger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "ModuleThreadHandler.ModuleThreadHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api... |
43114992788 | """
The codes are heavily borrowed from NeuS
"""
import os
import cv2 as cv
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import logging
import mcubes
from icecream import ic
from models.render_utils import sample_pdf
from models.projector import Projector
from tsparse.torchspa... | One-2-3-45/One-2-3-45 | reconstruction/models/sparse_neus_renderer.py | sparse_neus_renderer.py | py | 44,709 | python | en | code | 1,164 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "models.projector.Projector",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "models.patch... |
20189362717 | import argparse
from pathlib import Path
from os.path import basename, isfile, isdir, splitext
import glob
def _list_modules(folder_name):
modules = glob.glob(str(Path(__file__).resolve().parent / folder_name / '*'))
return list(
splitext(basename(f))[0]
for f in modules
if (isfile(f) ... | patli96/COMP9517_20T1 | pedestrian_monitor/console_arguments.py | console_arguments.py | py | 4,198 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "glob.glob",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_nu... |
38642289342 | import nltk
import pickle
from utils import tokenize_document
resume_file = open('../assets/resume.txt', 'r')
resume = resume_file.read()
resume_file.close()
tokenizer = nltk.RegexpTokenizer(r'\w+')
resume_tokenized = tokenize_document(resume, tokenizer)
print(resume_tokenized)
pickle.dump(resume_tokenized, open('../... | anishLearnsToCode/stop-words-removal | src/driver.py | driver.py | py | 352 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.RegexpTokenizer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.tokenize_document",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 12,
"usage_type": "call"
}
] |
496383977 | from dagster_datadog import datadog_resource
from dagster import ModeDefinition, execute_solid, solid
from dagster.seven import mock
@mock.patch('datadog.statsd.timing')
@mock.patch('datadog.statsd.timed')
@mock.patch('datadog.statsd.service_check')
@mock.patch('datadog.statsd.set')
@mock.patch('datadog.statsd.distr... | helloworld/continuous-dagster | deploy/dagster_modules/libraries/dagster-datadog/dagster_datadog_tests/test_resources.py | test_resources.py | py | 2,747 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "dagster.solid",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "dagster.execute_solid",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "dagster.ModeDefinition",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "dagster_da... |
32480271471 | from django.urls import include, path
from rest_framework.routers import DefaultRouter
from .views import (IngredientViewSet, LikedRecipeDetailView, RecipeViewSet,
SubscribtionListView, SubscriptionDetailView, TagViewSet)
v1_router = DefaultRouter()
v1_router.register(
'tags',
TagViewSet,
... | JCoffeeYP/foodgram-project-react | backend/cookbook/urls.py | urls.py | py | 917 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.TagViewSet",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "views.RecipeViewSet",
"line_number": 15,
"usage_type": "argument"
},
{
"... |
74873018984 | from flask_wtf import Form
from wtforms import StringField,BooleanField,PasswordField,IntegerField,SelectField
from wtforms.validators import DataRequired, ValidationError
from webapp.Models.db_basic import Session
from webapp.Models.prod_cat import Prod_cat
from webapp.Models.prod_sub_cat import Prod_sub_cat
def lev... | kangnwh/Emall | webapp/viewrouting/admin/forms/category_forms.py | category_forms.py | py | 2,511 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "webapp.Models.db_basic.Session",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "webapp.Models.prod_cat.Prod_cat",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "wtforms.validators.ValidationError",
"line_number": 12,
"usage_type": ... |
5054088480 | from abei.implements.service_basic import ServiceBasic
from abei.implements.util import (
FileLikeWrapper,
LazyProperty,
)
from abei.interfaces import (
IProcedure,
IProcedureLink,
IProcedureFactory,
IProcedureJointFactory,
IProcedureBuilder,
service_entry as _,
)
from .procedure_joint_b... | mind-bricks/abei | abei/implements/procedure_builder.py | procedure_builder.py | py | 8,029 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "abei.implements.util.LazyProperty",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "abei.implements.service_basic.ServiceBasic",
"line_number": 79,
"usage_type": "name"
},
{
"api_name": "abei.interfaces.IProcedureBuilder",
"line_number": 79,
"usag... |
22840734386 |
from urllib.request import urlopen
import json
def E(X):
'''
:param X: [(xi, pi), ...]
:return: int expected value of random variable X
'''
return sum([e[0] * e[1] for e in X])
url = 'https://api.blockchain.info/charts/market-price?timespan=1year&format=json'
http_file = urlopen(url)
lines = ht... | naurlaunim/other | btc_calc.py | btc_calc.py | py | 922 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 21,
"usage_type": "call"
}
] |
31453786297 | import os, sys, pygame
class Animation:
def __init__(self, names_files, cd_images, screen, width_screen, height_screen, sounds, colorkey=None, music=None):
self.images = []
for elem in names_files:
self.images.append(pygame.transform.scale(self.load_image(elem, colorkey=colorkey), (wid... | ScarletFlame611/1984-game | animation_comics.py | animation_comics.py | py | 2,789 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.transform.scale",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.transform",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
31638903937 | import json
import numpy as np
import matplotlib.pyplot as plt
def read_file():
# 读取数据
hero_list = json.load(open("./file/heroskin.json", 'r', encoding='utf-8'))
hero_skin_data = hero_list["hero_skin_data"]
return hero_skin_data
def get_hero_skin_count():
hero_skin_data = read_file()
# 所有英雄、皮... | N-Wind/League-of-Legends | hero/heroSkinLine.py | heroSkinLine.py | py | 2,138 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
15293966281 | # -*- coding:utf-8 -*-
import os
import sys
import time
import math
import threading
import json
import random
import logging
from apscheduler.schedulers.background import BackgroundScheduler
sys.path.append('./lib')
import mylog
mylog.setLog('KD48Monitor', logging.WARNING)
loggerInfo = logging.getLogger('mylogger')
l... | momo-xii/KD48 | KDMonitor.py | KDMonitor.py | py | 26,545 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "mylog.setLog",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"lin... |
23406422554 | # -*- coding: utf-8 -*-
import cottonformation as ctf
from cottonformation.res import iam, awslambda
# create a ``Template`` object to represent your cloudformation template
tpl = ctf.Template(
Description="Aws Lambda Versioning Example",
)
iam_role_for_lambda = iam.Role(
"IamRoleForLambdaExecution",
rp_... | MacHu-GWU/Dev-Exp-Share | docs/source/01-AWS/01-All-AWS-Services-Root/01-Compute/02-AWS-Lambda-Root/05-Versioning/deploy.py | deploy.py | py | 1,506 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "cottonformation.Template",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cottonformation.res.iam.Role",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cottonformation.res.iam",
"line_number": 11,
"usage_type": "name"
},
{
"api_... |
17966322508 | """Config files
"""
import logging
import os
import sys
from pathlib import Path
import torch
MAIN_PATH = Path(__file__).resolve().parents[1]
DATA_PATH = MAIN_PATH / "data"
DEPLOY_PATH = MAIN_PATH / "src" / "deploy"
ARTIFACT_PATH = MAIN_PATH / "artifacts"
DEVICE = torch.device("cuda") if torch.cuda.is_available() el... | benjaminlq/Image-Generation | src/config.py | config.py | py | 1,838 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
... |
27053438479 | import pytest
from subarraySum import Solution
@pytest.mark.parametrize("nums, k, expected", [
([], 2, 0),
([1, 1, 1], 2, 2),
([1, 1, 1, 1], 2, 3)
])
def test_subarraySum(nums, k, expected):
actual = Solution().subarraySum(nums, k)
assert actual == expected
| ikedaosushi/leetcode | problems/python/tests/test_subarraySum.py | test_subarraySum.py | py | 280 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "subarraySum.Solution",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 5,
"usage_type": "attribute"
}
] |
15991381065 | import torch.nn as nn
try:
from .resnet import resnet50_v1b
except:
from resnet import resnet50_v1b
import torch.nn.functional as F
import torch
class SegBaseModel(nn.Module):
r"""Base Model for Semantic Segmentation
Parameters
----------
backbone : string
Pre-trained dilated backbone... | zyxu1996/Efficient-Transformer | models/danet.py | danet.py | py | 7,495 | python | en | code | 67 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "resnet.resnet50_v1b",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
... |
26967199764 | from flask import Flask, jsonify, request, make_response
from functions import calculate_penalty,possession
app = Flask(__name__)
@app.route('/')
def index():
return 'This is index page'
@app.route('/penalties', methods={'POST'})
def getpenalities():
drug_class=request.form.get('drug_class')
... | Mubashar2014/penalties | main.py | main.py | py | 899 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
3202338276 | import numpy as np
import sys
import time
sys.path.append("Interface/python/")
from init import NeuronLayerBox
import cv2
def rgb2gray(rgb):
return np.dot(rgb[...,:3], [0.299, 0.587, 0.114])
if __name__ == '__main__':
NLB=NeuronLayerBox(step_ms=1,model=1,spike=0,restore=0)
input_src=[]
img=cv2.i... | Megatron2032/NeuronLayerBox | NeuronLayerBox1.1/main.py | main.py | py | 641 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.dot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "init.NeuronLayerBox",
"line_... |
19848816787 | import json
no = 0
groups = 0
reserve = []
data = {
"no": no,
"groups": groups,
"reserve": reserve
}
with open("data.json", "w") as f:
json.dump(data, f)
opend = open("./data.json","r")
loaded = json.load(opend)
print(loaded)
print("no: ", loaded["no"], "groups: ", loaded["groups"])
| hmjn023/dev-hmjn | js.py | js.py | py | 318 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "json.dump",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
}
] |
34181502633 | from typing import Dict, Optional, Type, Union, Callable, Any
from types import TracebackType
from functools import wraps
from threading import Lock
from qiskit_ibm_provider.utils.converters import hms_to_seconds
from qiskit_ibm_runtime import QiskitRuntimeService
from .runtime_job import RuntimeJob
from .utils.resul... | Qiskit/qiskit-ibm-runtime | qiskit_ibm_runtime/session.py | session.py | py | 11,847 | python | en | code | 106 | github-code | 36 | [
{
"api_name": "functools.wraps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "qiskit_ibm_runtime.QiskitRuntimeService",
"line_number": 57,
"usage_type": "name"
},
{
"api_name"... |
19033935152 | """Module contains functionality that parses main page for RedHat vulnerabilities."""
import time
import lxml
import lxml.etree
from selenium import webdriver
from selenium.common.exceptions import WebDriverException, NoSuchElementException
from selenium.webdriver.chrome.options import Options
from cve_connector.vend... | CSIRT-MU/CRUSOE | crusoe_observe/cve-connector/cve_connector/vendor_cve/implementation/parsers/vendor_parsers/redhat_parsers/red_hat_main_page_parser.py | red_hat_main_page_parser.py | py | 4,549 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "cve_connector.vendor_cve.implementation.parsers.general_and_format_parsers.html_parser.HtmlParser",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "selen... |
17440403303 | from tensorflow.keras import layers, models
import glob
import numpy as np
from PIL import Image
from sklearn.model_selection import train_test_split
from datetime import datetime
width = 75
height = 100
channel = 1
def load_data():
images = np.array([]).reshape(0, height, width)
labels = np.array([])
d... | NikolaBrodic/VehicleLicencePlateAndLogoRecognition | character_recognition_cnn.py | character_recognition_cnn.py | py | 2,599 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 24,
... |
6795368681 | from django.conf import settings
from django.db.models import Q
from django_filters import rest_framework as filters
from ...models import Event
class EventFilterSet(filters.FilterSet):
category = filters.MultipleChoiceFilter(
method='filter_category',
label='Category',
choices=settings... | tomasgarzon/exo-services | service-exo-events/event/api/filters/event.py | event.py | py | 1,666 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django_filters.rest_framework.FilterSet",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django_filters.rest_framework",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django_filters.rest_framework.MultipleChoiceFilter",
"line_number": ... |
41551040241 | import cv2
import os
import numpy as np
import json
import mmcv
from matplotlib.collections import PatchCollection
from matplotlib.patches import Polygon
import matplotlib.pyplot as plt
from glob import glob
import ast
from mmrotate.core import poly2obb_np
def poly2obb_np_oc(poly):
"""Convert polygons to oriented ... | parkyongjun1/rotated_deformabledetr | AO2-DETR/tools/arirang_json_to_txt.py | arirang_json_to_txt.py | py | 12,936 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.minAreaRect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number... |
70970697063 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 27 07:57:10 2020
@author: KANNAN
"""
from flask import Flask, render_template, request
import pandas as pd
#import sklearn
import pickle
model = pickle.load(open("flight_rf.pkl", "rb"))
app = Flask(__name__)
@app.route('/')
def home():
return r... | GuruYohesh/ML | Flight Fare Prediction/app.py | app.py | py | 9,556 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
... |
36538905715 | import matplotlib.pyplot as plt
from pymol import cmd
from multiprocessing import Pool, cpu_count
from tqdm import tqdm # Import tqdm for progress bar
# Define a function to calculate RMSD for a single frame
def calculate_rmsd(frame_number, object_1, reference_object):
cmd.frame(frame_number)
#cmd.align(objec... | raafik980/charmm-md-analysis-in-pymol | 02_rmsd_vs_frame_parallel.py | 02_rmsd_vs_frame_parallel.py | py | 2,523 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymol.cmd.frame",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymol.cmd",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pymol.cmd.rms_cur",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pymol.cmd",
"line_numbe... |
29632863333 | import discord
from discord.ext import commands
from datetime import datetime
from fun_config import *
class Work(commands.Cog):
def __init__(self, client: commands.Bot):
self.client = client
@commands.command()
@commands.cooldown(1, 86400, commands.BucketType.user)
async def sleep(self, ctx)... | Maghish/HoeX | cogs/work.py | work.py | py | 835 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 8,
"usage_type": "attribute"
},
{
"api... |
9507730487 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 13 18:52:23 2020
@author: Hasnain Khan
"""
import numpy as np
import cv2
from matplotlib import pyplot as plt
# Convolv function for convolving the kernel with real image matrix
def convolve_np(image, kernel):
X_height = image.shape[0]
X_width = im... | HasnainKhanNiazi/Convolutional-Kernels | Sobel_Operator.py | Sobel_Operator.py | py | 1,479 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number... |
70721444264 | import numpy as np
import plotly.offline as ply
import plotly.graph_objs as go
from scipy import stats as st
from scipy import signal as sg
import source_localization as src
file_name = "/home/dima/Projects/Touchdown/Data/test.bin"
ch_total = 6
length = 2**15 + 100000
fs = 100e6
t_pulse_width = 100e-6
t_period = 200e-... | DimaZhu/libsource_localization | tests/test_specframewriter.py | test_specframewriter.py | py | 2,935 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scipy.stats.norm.rvs",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "scipy.stats.no... |
1369587477 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from models import Company
def index(request):
companies = Company.objects.all().order_by('name')
paginator = Paginator(companies, 10)
... | avallete/ft_companysee | company/views.py | views.py | py | 863 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Company.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Company.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Company",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "dj... |
41646833738 | import datetime, requests, csv, argparse
class MarketwatchScraper():
def __init__(self, stock: str = "AAPL", timeout: int = 1) -> None:
self.stock = stock
self.timeout = timeout
pass
def scrape(self) -> None:
self.saveToFile(self.getURLS())
def saveToFile(self, ... | chaarlottte/MarketWatch-Scraper | scrape.py | scrape.py | py | 2,814 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_numb... |
21683749340 | #!/usr/bin/env python3
import os
import re
import click
import json
import logging
import zipfile
import portalocker
import contextlib
import traceback
import imghdr
import multiprocessing
import functools
import threading
import time
import sys
import ctypes
import psutil
from pathlib import Path
from functools impo... | poke1024/origami | origami/batch/core/processor.py | processor.py | py | 16,273 | python | en | code | 69 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "PySide6.QtGui.QGuiApplication",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "PySide6.QtGui",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "time.time... |
29184316598 | import sys
import numpy as np
import pyautogui
import win32api, win32con, win32gui
import cv2
import time
import torch
import time
class_names = [ 'counter-terrorist', 'terrorist' ]
opponent = 'terrorist'
opponent_color = (255, 0, 0)
ally_color = (0, 128, 255)
model_path = 'best-640.pt'
image_size = 640
scale_map = { ... | anaandjelic/soft-computing-project | aimbot.py | aimbot.py | py | 3,412 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "win32gui.FindWindow",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "win32gui.GetWindowRect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pyautogui.scre... |
19130481877 | from datetime import datetime
import json
class Observation():
def __init__(self, observationTime, numericValue, stringValue, booleanValue, sensorId):
self.observationTime = observationTime.strftime("%m/%d/%Y, %H:%M:%S")
self.Value = numericValue
self.valueString = stringValue
self.... | midcoreboot/RaspberryPiSensors | REC.py | REC.py | py | 675 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 18,
"usage_type": "call"
}
] |
16919406854 | from rest_framework.parsers import JSONParser
from rest_framework.renderers import JSONRenderer
from rest_framework.response import Response
from rest_framework.decorators import api_view
import io
from rest_framework import status
from todos.models import Task
from .serializers import TaskSerializer
@api_view(['GET'... | Khot-abhishek/TODO_WITH_API | api/views.py | views.py | py | 2,318 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "todos.models.Task.objects.all",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "todos.models.Task.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "todos.models.Task",
"line_number": 13,
"usage_type": "name"
},
{
"ap... |
30504364246 | import numpy as np
import cv2
from sklearn.cluster import KMeans
import pdb
from skimage.util import montage
import matplotlib.pyplot as plt
''' K means clustering with 30 classes: 26 letters, 1 blank time, 1 double letter, 1 triple letter, 1 empty'''
# gather images that have been labelled
f = open('labels.txt')
d... | meicholtz/scrabble | clustering.py | clustering.py | py | 2,242 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number"... |
33149847347 | import argparse
import collections
from datetime import datetime
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import numpy
import sys
import time
import json
import zenoh
# --- Command line argument parsing --- --- --- --- --- ---
parser = argparse.ArgumentParser(
prog='z_plot',
... | eclipse-zenoh/zenoh-demos | plotting/zplot/z_plot.py | z_plot.py | py | 2,515 | python | en | code | 27 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "zenoh.config_from_file",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "zenoh.Config",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "zenoh.con... |
74477036264 | from flask import Flask
from flask import render_template, request, jsonify
from engine.inv_ind import get_inv_ind
from engine.retrieval import get_retrieved_docs
app = Flask(__name__)
@app.route('/')
def hello():
return render_template("default.html")
@app.route('/index', methods=["GET", "POST"])
de... | ashishu007/IR-Engine | main.py | main.py | py | 1,441 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
16172950617 | """This script creates a regression test over metarl-TRPO and baselines-TRPO.
Unlike metarl, baselines doesn't set max_path_length. It keeps steps the action
until it's done. So we introduced tests.wrappers.AutoStopEnv wrapper to set
done=True when it reaches max_path_length. We also need to change the
metarl.tf.sampl... | icml2020submission6857/metarl | tests/benchmarks/metarl/tf/algos/test_benchmark_trpo.py | test_benchmark_trpo.py | py | 12,332 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "baselines.bench.benchmarks.get_benchmark",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "baselines.bench.benchmarks",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 65,
"usage_type": "call"
},
... |
27550085200 | import datetime
from imap_tools import EmailAddress
DATA = dict(
subject='double_fields',
from_='kaukinvk@yandex.ru',
to=('aa@aa.ru', 'bb@aa.ru'),
cc=('cc@aa.ru', 'dd@aa.ru'),
bcc=('zz1@aa.ru', 'zz2@aa.ru'),
reply_to=('foma1@company.ru', 'petr1@company.ru', 'foma2@company.ru', 'petr2@company.ru... | ikvk/imap_tools | tests/messages_data/double_fields.py | double_fields.py | py | 1,917 | python | en | code | 608 | github-code | 36 | [
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "imap_tools.EmailAddress",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "imap_tools.EmailAddress",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ima... |
27648052145 | from sqlalchemy import create_engine, text
db_connection_string = "mysql+pymysql://zi6id5p25yfq60ih6t1y:pscale_pw_OG991jS2It86MJJqrCYvCmcJ5psfFaYkxyOLA9GoTwy@ap-south.connect.psdb.cloud/enantiomer?charset=utf8mb4"
engine = create_engine(db_connection_string,
connect_args={"ssl": {
... | ismaehl-2002/enantiomer-website-v2 | database.py | database.py | py | 579 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.text",
"line_number": 13,
"usage_type": "call"
}
] |
24688793907 | from typing import Sequence
class NetStats:
def __init__(
self, net, input_shape: Sequence[int], backend: str = "torch",
self_defined_imp_class = None
):
if self_defined_imp_class is None:
if backend == "torch":
from reunn.implementation import torch_imp
... | AllenYolk/reusable-nn-code | reunn/stats.py | stats.py | py | 954 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.Sequence",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "reunn.implementation.torch_imp.TorchStatsImp",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "reunn.implementation.torch_imp",
"line_number": 13,
"usage_type": "name"
},... |
29947905371 | import requests
class Test_new_joke():
"""Создание новой шутки"""
def __init__(self):
pass
def get_categories(self):
"""Получение категориb шуток"""
url_categories = "https://api.chucknorris.io/jokes/categories"
print("Получение категорий шуток по ссылке - " + url_categ... | Grassh-str/Test_api_ChuckNorris | api_chuck.py | api_chuck.py | py | 2,399 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 43,
"usage_type": "call"
}
] |
13866614560 | import datetime
from sqlalchemy import Column, Integer, String, DateTime, ForeignKey
from sqlalchemy.orm import relationship
from app.db.base_model import Base
class ArticleModel(Base):
__tablename__ = "articles"
id = Column(Integer, primary_key=True, autoincrement=True)
title = Column(String(255))
... | matheus-feu/FastAPI-JWT-Security | app/models/article.py | article.py | py | 753 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "app.db.base_model.Base",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "sqlalc... |
26377040664 | import ast
import os
from django.http import JsonResponse
from django.shortcuts import render, HttpResponse
from django.conf import settings
import json
import commons.helper
# Create your views here.
"""
Google Map
"""
def map_hello_world(request):
"""
Renders a page with embedded Google map. Passes varia... | TAMUSA-nsf-project/django_smartmap | map/views.py | views.py | py | 1,701 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "django.conf.settings.GOOGLE_MAP_API_KEY",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 26,
"usage_type": "call"
},
{
"api_... |
41772303500 | import glob
import json
import subprocess
from utils import PathUtils
from plot_sim_results import plot_multiple_results
EXP_CONFIGS = ['ring_local_config',
'ring_consensus_config']
if __name__ == '__main__':
ring_configs = glob.glob(str(PathUtils.exp_configs_folder) + '/ring' + '/*.py')
for... | matteobettini/Autonomous-Vehicles-Consensus-2021 | run_experiments_ring.py | run_experiments_ring.py | py | 1,084 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "glob.glob",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.PathUtils.exp_configs_folder",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "utils.PathUtils",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "uti... |
13966927417 | from itertools import combinations
def make_combinations_set(order, menu_num):
result = set()
menus = sorted([ch for ch in order])
comb_menu = combinations(menus, menu_num)
for each_comb in comb_menu:
result.add(''.join(each_comb))
# print(result)
return result
def solution(orders, c... | Devlee247/NaverBoostCamp_AlgorithmStudy | week5/P01_myeongu.py | P01_myeongu.py | py | 1,634 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "itertools.combinations",
"line_number": 7,
"usage_type": "call"
}
] |
32889657187 | import math
import os
from pickle import FALSE, TRUE
import nltk
import string
from nltk.stem import PorterStemmer
import json
import tkinter as tk
from nltk import WordNetLemmatizer
lemmatizer=WordNetLemmatizer()
remove_punctuation_translator = str.maketrans(string.punctuation, ' '*len(string.punctuation))
def stopWor... | mustafabawani/Vector-Space-Model | ajeeb.py | ajeeb.py | py | 4,976 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.WordNetLemmatizer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "nltk.word_tokenize",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "mat... |
38767218323 | import streamlit as st
import pandas as pd
import openai
import time
import re
openai.api_key = st.secrets["openai"]
def txt(file):
content = file.getvalue().decode('utf-8')
documents = content.split("____________________________________________________________")
# Removing any empty strings or ones that... | skacholia/AnnotateDemo | main.py | main.py | py | 4,539 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "openai.api_key",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "streamlit.secrets",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.search",
"l... |
27016642063 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 1 17:38:34 2019
@author: Martín Márquez Cervantes
"""
print("UNion de las tres compuertas, aun por trabajar")
import matplotlib.pyplot as plt
import numpy as np
class MyNeuron:
#VAriable w global
WG=0
xTestPredic=0
#entrenamie... | MarqCervMartin/RedesNeuronales | Laboratorio5/CompuertaAndOrNot.py | CompuertaAndOrNot.py | py | 5,014 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.rand",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.append",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"li... |
14129279608 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import sqlite3
from datetime import datetime
db_name = 'dbmovie{0}.db'.format(str(datetime.now())[:10].replace('-', ''))
cla... | zenmeder/dbmovie | dbmovie/pipelines.py | pipelines.py | py | 1,434 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error... |
23212333774 | from django.test import TestCase
from .models import User, Routine, RoutineContent, Task, Advice, Appointment, DayWeek
from .get import *
from datetime import datetime, timedelta
# Create your tests here.
class getsFunctionTestCase(TestCase):
def setUp(self):
user_a = User.objects.create_user(username='u... | eduardofcabrera/CS50-CalendarDay | day_day/tests.py | tests.py | py | 6,307 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.User.objects.create_user",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.User.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_... |
43508294902 | import sys
from pathlib import Path
sys.path.append(Path(__file__).resolve().parents[2])
# rel imports when in package
if __name__ == '__main__' and __package__ is None:
__package__ = 'kuosc'
print(Path(__file__).resolve())
print(__package__)
# from kurosc.lib.plotformat import setup
| chriswilly/kuramoto-osc | Python/kurosc/kurosc/tests/pathtest.py | pathtest.py | py | 293 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_numb... |
73679903143 | import telebot
from telebot import types
import firebase_admin
from firebase_admin import credentials
from firebase_admin import db
bot = telebot.TeleBot("") # Замените на свой токен!
DB_URL = ''
user_dict = {}
class User:
def __init__(self, tgid):
self.tgid = tgid
self.fio_name = ... | psshamshin/CuberClub_BOT | tgbotlastfinal.py | tgbotlastfinal.py | py | 4,885 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "telebot.TeleBot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "telebot.types.ReplyKeyboardMarkup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "telebot.types",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "telebo... |
6689643445 | import os
import uuid
import json
import minio
import logging
class storage:
instance = None
client = None
def __init__(self):
try:
"""
Minio does not allow another way of configuring timeout for connection.
The rest of configuration is copied from source code ... | spcl/serverless-benchmarks | benchmarks/wrappers/openwhisk/python/storage.py | storage.py | py | 2,464 | python | en | code | 97 | github-code | 36 | [
{
"api_name": "datetime.timedelta",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "urllib3.PoolManager",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "urllib3.util.Timeout",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "urllib3.u... |
44647926786 | import boto3
import json
from decimal import Decimal
from boto3.dynamodb.conditions import Key
dynamodb = boto3.resource('dynamodb')
attendance_table = dynamodb.Table('attendance_table_user')
#queryで特定のuser_idの出社予定取ってくる
def query_attendance(id):
result = attendance_table.query(
KeyConditionExpressio... | SOICHI0826/kinikare_server | lambdafunction/get_attendance.py | get_attendance.py | py | 957 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "boto3.resource",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "boto3.dynamodb.conditions.Key",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "json.... |
11210169685 | from django.conf import settings
from travels import models
from django.utils.html import escapejs
def project_settings(request):
project_settings = models.Settings.objects.all()[0]
return { 'project_settings' : project_settings }
def settings_variables(request):
''' Provides base URLs for use in templates '''
... | UNICEF-Youth-Section/Locast-Web-Rio | travels/settings_context_processor.py | settings_context_processor.py | py | 754 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "travels.models.Settings.objects.all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "travels.models.Settings",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "travels.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_... |
947943428 | #!/usr/bin/env python3
import requests
import bs4
base_url = "https://quotes.toscrape.com/page/{}/"
authors = set()
quotations = []
for page_num in range(1,2):
page = requests.get(base_url.format(page_num))
soup = bs4.BeautifulSoup(page.text,'lxml')
boxes = soup.select(".quote") #selected all the qu... | SKT27182/web_scaping | get_quotes_author.py | get_quotes_author.py | py | 751 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
}
] |
29790427487 | import json
from flask import Flask, request
from flask_cors import CORS
from queue import Queue
from helpers.utils import utils
from helpers.db import queries
from helpers.algo import boundary
from helpers.algo import neighbours
from helpers.algo import degrees_count
from helpers.algo.new_hex_loc import*
app = Flas... | ricksr/cluster-anywhr | cluster/app.py | app.py | py | 11,777 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
... |
70390276585 | from flask import Flask,render_template,request,jsonify
import utils
app = Flask(__name__)
@app.route('/') #Base API
def home():
print('Testing Home API')
return render_template('home.html')
@app.route('/predict', methods = ['POST'])
def prediction():
print('Testing prediction API')
data = request.f... | PrashantBodhe/irisproject1 | interface.py | interface.py | py | 820 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
18190036430 | import pandas as pd
import Levenshtein
import numpy as np
from anytree.search import find
from utils.category_tree import get_category_tree
from utils.io_custom import read_pickle_object
from scipy.spatial.distance import cosine
import re
def find_node(id, tree):
return find(tree, lambda node: node.name == id)
d... | comptech-winter-school/online-store-redirects | utils/feature_generation.py | feature_generation.py | py | 8,101 | python | ru | code | 3 | github-code | 36 | [
{
"api_name": "anytree.search.find",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "Levenshtein.distance",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
71551898663 | from __future__ import annotations
import falcon
from app.models import Rating
from app.schemas.ratings import rating_item_schema
class RateResource:
deserializers = {"post": rating_item_schema}
def on_post(self, req: falcon.Request, resp: falcon.Response, id: int):
"""
---
summary:... | alysivji/falcon-batteries-included | app/resources/ratings.py | ratings.py | py | 1,133 | python | en | code | 15 | github-code | 36 | [
{
"api_name": "app.schemas.ratings.rating_item_schema",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "falcon.Request",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "falcon.Response",
"line_number": 12,
"usage_type": "attribute"
},
{
"a... |
73435015143 | import numpy
import statsmodels.regression
import statsmodels.tools
import scipy.optimize as opti
import scipy.interpolate as interp
import scipy.signal as signal
import matplotlib.pyplot as plt
class PVP:
def __init__(self, sampling_period=0.01):
self.sampling_period = sampling_period
self._kinem... | jgori-ouistiti/PVPlib | pvplib/core.py | core.py | py | 24,949 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.argmax",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number":... |
12220208294 | from json import loads
from logging_tools import Logger
from population import create_sample
from requests import get
from requests import post
from requests.auth import HTTPBasicAuth
from string import Template
from time import sleep
from uuid import uuid1
""" Template for the whisk rest api. """
whisk_rest_api = Tem... | mariosky/ga_action | py_client/evolution.py | evolution.py | py | 4,228 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "string.Template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "uuid.uuid1",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "population.create_sample",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "requests.auth.HTT... |
74436411945 |
import os
from pathlib import Path
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from shutil import copyfile
config = {
# General
'symbol': 'spy',
'symbol_name': 'S&P500',
'category': {'unespecified': ['spy']}, # 'gld', 'spy','xle', 'emb','dia', 'qqq', 'ewp'
'extensi... | cetrulin/Quant-Quote-Data-Preprocessing | src/select_mahab_series.py | select_mahab_series.py | py | 16,131 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.sep.join",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "os.sep.join",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number": 63,
... |
38625939524 | from tkinter import *
from tkinter import messagebox
from tkinter import ttk #css for tkinter
from configparser import ConfigParser
# import io
# import urllib.request
# import base64
import time
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
import requests
weather_url = 'http://a... | superduperkevin/WeatherGUI | weather_app.py | weather_app.py | py | 3,867 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ssl._create_default_https_context",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_unverified_context",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 24,
"usage_type": "... |
16028301314 | import pymongo
import os
import pandas as pd
import json
def main():
client = pymongo.MongoClient("mongodb://localhost:27017/")
databases = client.list_database_names()
if "fifa" not in databases:
db = client["fifa"]
players_collection = db["players"]
ultimate_team_collection = db... | wconti27/DS4300_FIFA_Tool | import_data.py | import_data.py | py | 2,486 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_... |
19982458840 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import logging
import unittest
from tutorons.regex.extract import ApacheConfigRegexExtractor, JavascriptRegexExtractor,\
GrepRegexExtractor, SedRegexExtractor
from tutorons.common.htmltools import HtmlDocument
logging.basicCo... | andrewhead/tutorons-server | tutorons/tests/regex/test_extractor.py | test_extractor.py | py | 8,711 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "tutorons... |
13042186116 | #!/usr/bin/env python
"""
Datapath for QEMU qdisk
"""
import urlparse
import os
import sys
import xapi
import xapi.storage.api.v5.datapath
import xapi.storage.api.v5.volume
import importlib
from xapi.storage.libs.libcow.datapath import QdiskDatapath
from xapi.storage import log
def get_sr_callbacks(dbg, uri):
u ... | xcp-ng/xcp-ng-xapi-storage | plugins/datapath/qdisk/datapath.py | datapath.py | py | 2,192 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "urlparse.urlparse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "importlib.import_modu... |
30844385629 | """
USC Spring 2020
INF 553 Foundations of Data Mining
Assignment 3
Student Name: Jiabin Wang
Student ID: 4778-4151-95
"""
from pyspark import SparkConf, SparkContext, StorageLevel
from trainAuxiliary import *
'''
import os
import re
import json
import time
import sys
import math
import random
... | jiabinwa/DSCI-INF553-DataMining | Assignment-3/task3train.py | task3train.py | py | 1,215 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyspark.SparkConf",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 37,
"usage_type": "call"
}
] |
20851705442 | # Take the code from the How To Decode A Website exercise
# (if you didn’t do it or just want to play with some different code, use the code from the solution),
# and instead of printing the results to a screen, write the results to a txt file.
# In your code, just make up a name for the file you are saving to.
# E... | ismsadek/python-basics | Ex 21.py | Ex 21.py | py | 973 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
}
] |
69839957223 | from django.conf.urls.defaults import *
from django.contrib import admin
import os.path
admin.autodiscover()
MEDIA_ROOT = os.path.join(os.path.abspath(os.path.dirname(__file__)), "media")
urlpatterns = patterns('',
(r'^admin/doc/', include('django.contrib.admindocs.urls')),
(r'^admin/', include(admin.site.urls... | friendofrobots/ice-divisi | explore/urls.py | urls.py | py | 995 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.path.path.join",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": ... |
19970778695 | import eventlet
import msgpack
import random
from copy import copy
from datetime import datetime
from . import cmds
from . import msgs
import os
log_file = open(os.path.join(os.getcwd(), 'client.log'), 'w')
def write_log(msg):
global log_file
log_file.write(
"{0} - {1}\n".format(datetime.now(), str(... | jason-ni/eventlet-raft | eventlet_raft/client.py | client.py | py | 4,133 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line... |
38777184708 | #!/usr/bin/python
import csv
import json
import pprint
import re
import sys
def replace_if_not_empty(dict, key, value):
if key not in dict or not dict[key]:
dict[key] = value
def to_float_or_none(value):
# lmao lazy
try:
return float(value)
except ValueError:
return None
d... | penguinuwu/Mousebase | backend/csv_parser/parse_csv.py | parse_csv.py | py | 7,636 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "json.dump",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 150,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 249... |
13909907482 | """Module with lagrangian decomposition methods."""
# Python packages
# Package modules
import logging as log
from firedecomp.AL import ARPP
from firedecomp.AL import ADPP
from firedecomp.fix_work import utils as _utils
from firedecomp.original import model as _model
from firedecomp.classes import problem as _problem
... | jorgerodriguezveiga/firedecomp | firedecomp/AL/AL.py | AL.py | py | 22,213 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "firedecomp.fix_work.utils.get_initial_sol",
"line_number": 135,
"usage_type": "call"
},
{
"api_name": "firedecomp.fix_work.utils",
"line_number": 135,
"usage_type": "name"
},
{
"a... |
7952291852 | from __future__ import annotations
import logbook
from discord import Interaction
from discord import Message
from discord.ext.commands import Context
from json import dumps
from logging import Logger
from time import time
from utils import send_response
from yt_dlp.YoutubeDL import YoutubeDL
from yt_dlp import Downlo... | ruubytes/Maon.py | src/track.py | track.py | py | 6,962 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "logging.Logger",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "logbook.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
24643182429 | import pyautogui
import time
# Locating the game window
pyautogui.alert('Put the mouse pointer over the top left corner of the game then press "Enter"')
TOP_LEFT = pyautogui.position()
pyautogui.alert('Put the mouse pointer over the bottom right corner of the game then press "Enter"')
BOT_RIGHT = pyautogui.position... | Furrane/voxelbot | main.py | main.py | py | 2,768 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyautogui.alert",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyautogui.position",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyautogui.alert",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyautogui.position",... |
12080387469 | from tinydb import TinyDB, Query, where
db = TinyDB("data.json", indent=4)
db.update({"score": 10}, where ("name") == "Patrick")
db.update({"roles": ["Junior"]})
db.update({"roles": ["Expert"]}, where("name") == "Patrick")
db.upsert({"name": "Pierre", "score": 120, "roles": ["Senior"]}, where("name") == "Pierre")
d... | yunus-gdk/python_beginner | tiny-db/maj.py | maj.py | py | 402 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tinydb.TinyDB",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "tinydb.where",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tinydb.where",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tinydb.where",
"line_number"... |
28890711101 | """Tool for processing pytd files.
pytd is a type declaration language for Python. Each .py file can have an
accompanying .pytd file that specifies classes, argument types, return types
and exceptions.
This binary processes pytd files, typically to optimize them.
Usage:
pytd_tool [flags] <inputfile> <outputfile>
""... | google/pytype | pytype/pytd/main.py | main.py | py | 3,389 | python | en | code | 4,405 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pytype.utils.version_from_string",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "pytype.utils",
"line_number": 69,
"usage_type": "name"
},
{
"api_name": ... |
34887554995 | import django_filters
from .models import *
from django_filters import DateFilter, CharFilter, NumberFilter
from django.forms.widgets import TextInput, NumberInput, DateInput, SelectDateWidget
# class TitleFilter(django_filters.FilterSet):
# title = CharFilter(field_name='title', lookup_expr='icontains',
# ... | viginti23/project-home-gardens | home/filters.py | filters.py | py | 2,126 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django_filters.FilterSet",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "django_filters.DateFilter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.forms.widgets.SelectDateWidget",
"line_number": 20,
"usage_type": "call"
... |
38242299725 | import os, re, math, sys
from collections import defaultdict
VCF_CONTIG_PATT = re.compile('ID=(\w+),length=(\d+)')
PROG_NAME = 'Hycco'
DESCRIPTION = 'Hycco is an HMM based method to estimate hybrid chromosomal crossover points using distinguising SNPs from two parental genotypes'
FILE_TAG = 'crossover_regions'
DEF... | tjs23/hycco | hycco.py | hycco.py | py | 16,851 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
... |
932080591 | import argparse
import sys
from FitsToPNG import main_run
from FitsMath import calibration_compute_process
from JsonConvert import JsonConvert
def argument_handling():
"""
Method to deal with arguments parsing
:return: file path to fits file and path to a new png file
"""
parser = argparse.Argumen... | AstroPhotometry/AstroPhotometry | python/main.py | main.py | py | 1,913 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "FitsToPNG.main_run",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "JsonConvert.JsonConvert",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "Fi... |
15991432175 | """Point-wise Spatial Attention Network"""
import torch
import torch.nn as nn
up_kwargs = {'mode': 'bilinear', 'align_corners': True}
norm_layer = nn.BatchNorm2d
class _ConvBNReLU(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0,
dilation=1, groups=1, r... | zyxu1996/Efficient-Transformer | models/head/psa.py | psa.py | py | 3,539 | python | en | code | 67 | github-code | 36 | [
{
"api_name": "torch.nn.BatchNorm2d",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
31167909236 | from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as pl
n = []
e = []
ep = []
with open('cohesive.txt') as file:
next(file)
for line in file:
value = line.strip().split(' ')
n.append(int(value[0]))
e.append(float(value[1]))
ep.append(float(value[2]))
n = [int(i) ... | leschultz/MSE760 | hw1/cohesiveplot.py | cohesiveplot.py | py | 640 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matpl... |
38230641429 | from __future__ import division, print_function
import numpy as np
import scipy.linalg
from MatrixIO import load, store
import click
def lqr(A,B,Q,R):
"""Solve the continuous time lqr controller.
dx/dt = A x + B u
cost = integral x.T*Q*x + u.T*R*u
"""
#ref Bertsekas, p.151
#fi... | Zomega/thesis | Wurm/Stabilize/LQR/python/LQR.py | LQR.py | py | 1,450 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.matrix",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.linalg.solve_continuous_are",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.linalg",
"line_number": 20,
"usage_type": "attribute"
},
{
"ap... |
8639664963 | # -*- coding: utf-8 -*-
#
# Virtual Satellite 4 - FreeCAD module
#
# Copyright (C) 2019 by
#
# DLR (German Aerospace Center),
# Software for Space Systems and interactive Visualization
# Braunschweig, Germany
#
# This program is free software: you can redistribute it and/or modify
# it under the ter... | virtualsatellite/VirtualSatellite4-FreeCAD-mod | VirtualSatelliteCAD/json_io/products/json_product_assembly.py | json_product_assembly.py | py | 9,732 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "FreeCAD.Console",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "json_io.products.json_product.AJsonProduct",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "json_io.json_definitions.JSON_ELEMNT_CHILDREN",
"line_number": 77,
"usage... |
25450914107 | from rest_framework import serializers
from taggit.serializers import TagListSerializerField, TaggitSerializer
from accounts.models import Profile
from ...models import Post, Category
class CategorySerializer(serializers.ModelSerializer):
class Meta:
model = Category
fields = ("name", "id")
... | AmirhosseinRafiee/Blog | mysite/blog/api/v1/serializers.py | serializers.py | py | 2,319 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Category",
"line_number": 9,
"usage_type": "name"
},
... |
361601527 | import pandas as pd
import glob
import functools
from sklearn.preprocessing import StandardScaler
from sklearn.cluster import KMeans
from sklearn import decomposition
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
#from plotnine import *
#from matplotlib.mlab import PCA
# LOAD THE DATA
#data = ... | deprekate/goodorfs_experimental | scripts/pca_all.py | pca_all.py | py | 1,954 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.concat",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
... |
20681022248 | __author__ = 'elmira'
import numpy as np
from lxml import etree
from collections import Counter
from matplotlib import pyplot as plt
from matplotlib import mlab
def open_corpus(fname):
parser = etree.HTMLParser() # создаем парсер хтмл-страниц
# скармливаем парсеру майстемовский xml, берем тэг body и все что... | elmiram/homework | seminar9/task2 (4 points)/genre-by-pos.py | genre-by-pos.py | py | 3,848 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "lxml.etree.HTMLParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "lxml.etree.parse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"l... |
10877583563 | import sys
import os
from tqdm.rich import tqdm
import pandas as pd
import datetime
import tables
from pathlib import Path
from typing import TypedDict
class TrialSummary(TypedDict):
subject: str
task: str
step: str
n_trials: int
data_path = Path.home() / "Dropbox" / "lab" / "autopilot" / "data"
subj... | auto-pi-lot/autopilot-paper | code/log_counting/count_trials.py | count_trials.py | py | 1,137 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "typing.TypedDict",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pathlib.Path.home",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "tqdm.rich.tqdm",
... |
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